{
  "cells": [
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "jmXx-hS9ZMVj"
      },
      "source": [
        "# FSRS4Anki v4.10.2 Simulator"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "lurCmW0Jqz3s"
      },
      "source": [
        "[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-spaced-repetition/fsrs4anki/blob/v4.10.2/fsrs4anki_simulator.ipynb)\n",
        "\n",
        "↑ Click the above button to open the simulator on Google Colab.\n",
        "\n",
        "> If you can't see the button and are located in the Chinese Mainland, please use a proxy or VPN."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "BtW1uBOm6Djf"
      },
      "outputs": [],
      "source": [
        "# parameters for FSRS\n",
        "w = [1.1008, 1.2746, 5.7619, 10.5114, 5.3148, 1.5796, 1.244, 0.003, 1.5741, 0.1741, 1.0137, 2.7279, 0.0114, 0.3071, 0.3981, 0.0, 1.9569]\n",
        "requestRetention = 0.82  # recommended setting: 0.8 ~ 0.9\n",
        "\n",
        "# parameters for Anki\n",
        "graduatingInterval = 1\n",
        "easyInterval = 4\n",
        "easyBonus = 1.3\n",
        "hardInterval = 1.2\n",
        "intervalModifier = 1\n",
        "newInterval = 0\n",
        "minimumInterval = 1\n",
        "leechThreshold = 8\n",
        "leechSuspend = False\n",
        "\n",
        "# common parameters\n",
        "maximumInterval = 36500\n",
        "new_cards_limits = 20\n",
        "review_limits = 400\n",
        "max_time_limts = 10000\n",
        "learn_days = 300\n",
        "deck_size = 20000\n",
        "\n",
        "# get the true time from review logs\n",
        "filename = \"collection-2022-09-18@13-21-58.colpkg\"\n",
        "\n",
        "# smooth curves\n",
        "moving_average_period = 14\n",
        "\n",
        "# Set it to True if you don't want the optimizer to use the review logs from suspended cards.\n",
        "filter_out_suspended_cards = False\n",
        "\n",
        "# Red: 1, Orange: 2, Green: 3, Blue: 4, Pink: 5, Turquoise: 6, Purple: 7\n",
        "# Set it to [1, 2] if you don't want the optimizer to use the review logs from cards with red or orange flag.\n",
        "filter_out_flags = []"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Deck file extracted successfully!\n",
            "revlog.csv saved.\n",
            "average time for failed reviews: 33.7s\n",
            "average time for recalled reviews: 10.6s\n",
            "average time for `hard`, `good` and `easy` reviews: 14.5s, 10.3s, 6.9s\n",
            "average time for learning a new card: 25.7s\n",
            "Ratio of `hard`, `good` and `easy` ratings for recalled reviews: 0.08, 0.90, 0.02\n",
            "Ratio of `again`, `hard`, `good` and `easy` ratings for new cards: 0.21, 0.02, 0.48, 0.29\n"
          ]
        }
      ],
      "source": [
        "%pip install -q fsrs_optimizer==4.18.2\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import random\n",
        "\n",
        "# for local development\n",
        "# import os\n",
        "# import sys\n",
        "# sys.path.insert(0, os.path.abspath('../fsrs-optimizer/src/fsrs_optimizer/'))\n",
        "import fsrs_optimizer as optimizer\n",
        "\n",
        "optimizer = optimizer.Optimizer()\n",
        "optimizer.anki_extract(filename, filter_out_suspended_cards, filter_out_flags)\n",
        "\n",
        "New = 0\n",
        "Learning = 1\n",
        "Review = 2\n",
        "Relearning = 3\n",
        "\n",
        "df = pd.read_csv(\"./revlog.csv\")\n",
        "df.sort_values(by=[\"card_id\", \"review_time\"], inplace=True, ignore_index=True)\n",
        "\n",
        "new_card_revlog = df[\n",
        "    (df[\"review_state\"] == New) & (df[\"review_rating\"].isin([1, 2, 3, 4]))\n",
        "]\n",
        "first_rating_prob = np.zeros(4)\n",
        "first_rating_prob[new_card_revlog[\"review_rating\"].value_counts().index - 1] = (\n",
        "    new_card_revlog[\"review_rating\"].value_counts()\n",
        "    / new_card_revlog[\"review_rating\"].count()\n",
        ")\n",
        "recall_card_revlog = df[\n",
        "    (df[\"review_state\"] == Review) & (df[\"review_rating\"].isin([2, 3, 4]))\n",
        "]\n",
        "review_rating_prob = np.zeros(3)\n",
        "review_rating_prob[recall_card_revlog[\"review_rating\"].value_counts().index - 2] = (\n",
        "    recall_card_revlog[\"review_rating\"].value_counts()\n",
        "    / recall_card_revlog[\"review_rating\"].count()\n",
        ")\n",
        "\n",
        "df[\"review_state\"] = df[\"review_state\"].map(\n",
        "    lambda x: x if x != New else Learning)\n",
        "\n",
        "recall_costs = np.zeros(3)\n",
        "recall_costs_df = recall_card_revlog.groupby(by=\"review_rating\")[\n",
        "    \"review_duration\"\n",
        "].mean()\n",
        "recall_costs[recall_costs_df.index - 2] = recall_costs_df / 1000\n",
        "\n",
        "state_sequence = np.array(df[\"review_state\"])\n",
        "duration_sequence = np.array(df[\"review_duration\"])\n",
        "learn_cost = round(\n",
        "    df[df[\"review_state\"] == Learning][\"review_duration\"].sum()\n",
        "    / len(df[\"card_id\"].unique())\n",
        "    / 1000,\n",
        "    1,\n",
        ")\n",
        "\n",
        "state_block = dict()\n",
        "state_count = dict()\n",
        "state_duration = dict()\n",
        "last_state = state_sequence[0]\n",
        "state_block[last_state] = 1\n",
        "state_count[last_state] = 1\n",
        "state_duration[last_state] = duration_sequence[0]\n",
        "for i, state in enumerate(state_sequence[1:]):\n",
        "    state_count[state] = state_count.setdefault(state, 0) + 1\n",
        "    state_duration[state] = state_duration.setdefault(\n",
        "        state, 0) + duration_sequence[i]\n",
        "    if state != last_state:\n",
        "        state_block[state] = state_block.setdefault(state, 0) + 1\n",
        "    last_state = state\n",
        "\n",
        "recall_cost = round(state_duration[Review] / state_count[Review] / 1000, 1)\n",
        "\n",
        "if Relearning in state_count and Relearning in state_block:\n",
        "    forget_cost = round(\n",
        "        state_duration[Relearning] /\n",
        "        state_block[Relearning] / 1000 + recall_cost,\n",
        "        1,\n",
        "    )\n",
        "\n",
        "print(f\"average time for failed reviews: {forget_cost}s\")\n",
        "print(f\"average time for recalled reviews: {recall_cost}s\")\n",
        "print(\n",
        "    \"average time for `hard`, `good` and `easy` reviews: %.1fs, %.1fs, %.1fs\"\n",
        "    % tuple(recall_costs)\n",
        ")\n",
        "print(f\"average time for learning a new card: {learn_cost}s\")\n",
        "print(\n",
        "    \"Ratio of `hard`, `good` and `easy` ratings for recalled reviews: %.2f, %.2f, %.2f\"\n",
        "    % tuple(review_rating_prob)\n",
        ")\n",
        "print(\n",
        "    \"Ratio of `again`, `hard`, `good` and `easy` ratings for new cards: %.2f, %.2f, %.2f, %.2f\"\n",
        "    % tuple(first_rating_prob)\n",
        ")\n",
        "\n",
        "\n",
        "def generate_rating(review_type):\n",
        "    if review_type == \"new\":\n",
        "        return np.random.choice([1, 2, 3, 4], p=first_rating_prob)\n",
        "    elif review_type == \"recall\":\n",
        "        return np.random.choice([2, 3, 4], p=review_rating_prob)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f1e773241bd745779e2ec576bcce2e7d",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "  0%|          | 0/300 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "scheduler: anki\n",
            "learned cards: 6000\n",
            "time in minutes: 10847.8\n",
            "remembered cards: 5654\n",
            "time per remembered card: 1.92\n",
            "leeches: 15\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "305eeae0a4a5491f85ac661add101b55",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "  0%|          | 0/300 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "scheduler: fsrs\n",
            "learned cards: 6000\n",
            "time in minutes: 8432.1\n",
            "remembered cards: 5474\n",
            "time per remembered card: 1.54\n",
            "leeches: 34\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from fsrs_optimizer import lineToTensor, FSRS\n",
        "import torch\n",
        "from tqdm.auto import tqdm\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "class Collection:\n",
        "    def __init__(self):\n",
        "        self.model = FSRS(w)\n",
        "        self.model.eval()\n",
        "\n",
        "    def states(self, t_history, r_history):\n",
        "        with torch.no_grad():\n",
        "            line_tensor = lineToTensor(\n",
        "                list(zip([str(t_history)], [str(r_history)]))[0]\n",
        "            ).unsqueeze(1)\n",
        "            output_t = self.model(line_tensor)\n",
        "            return output_t[-1][0]\n",
        "\n",
        "    def next_states(self, states, t, r):\n",
        "        with torch.no_grad():\n",
        "            return self.model.step(torch.FloatTensor([[t, r]]), states.unsqueeze(0))[0]\n",
        "\n",
        "    def init(self):\n",
        "        t = 0\n",
        "        r = generate_rating(\"new\")\n",
        "        p = round(first_rating_prob[r - 1], 2)\n",
        "        new_states = self.states(t, r)\n",
        "        return r, t, p, new_states\n",
        "\n",
        "\n",
        "feature_list = [\n",
        "    \"difficulty\",\n",
        "    \"stability\",\n",
        "    \"retrievability\",\n",
        "    \"delta_t\",\n",
        "    \"reps\",\n",
        "    \"lapses\",\n",
        "    \"last_date\",\n",
        "    \"due\",\n",
        "    \"r_history\",\n",
        "    \"t_history\",\n",
        "    \"p_history\",\n",
        "    \"states\",\n",
        "    \"time\",\n",
        "    \"factor\",\n",
        "]\n",
        "field_map = {key: i for i, key in enumerate(feature_list)}\n",
        "\n",
        "\n",
        "def fsrs4anki_scheduler(stability):\n",
        "    def constrain_interval(stability):\n",
        "        if stability > 0:\n",
        "            return min(\n",
        "                max(1, round(9 * stability * (1 / requestRetention - 1))),\n",
        "                maximumInterval,\n",
        "            )\n",
        "        else:\n",
        "            return 1\n",
        "\n",
        "    interval = constrain_interval(stability)\n",
        "    return interval\n",
        "\n",
        "\n",
        "def anki_scheduler(interval, real_interval, factor, rating):\n",
        "    if factor is None:\n",
        "        return (graduatingInterval, 2.5) if rating != 4 else (easyInterval, 2.5)\n",
        "    delay = real_interval - interval\n",
        "    again_interval = min(\n",
        "        max(round(interval * newInterval * intervalModifier + 0.01), minimumInterval),\n",
        "        maximumInterval,\n",
        "    )\n",
        "    hard_interval = min(\n",
        "        max(\n",
        "            round(interval * hardInterval * intervalModifier + 0.01),\n",
        "            interval + 1,\n",
        "            minimumInterval,\n",
        "        ),\n",
        "        maximumInterval,\n",
        "    )\n",
        "    good_interval = min(\n",
        "        max(\n",
        "            round((interval + delay / 2) * factor * intervalModifier + 0.01),\n",
        "            hard_interval + 1,\n",
        "            minimumInterval,\n",
        "        ),\n",
        "        maximumInterval,\n",
        "    )\n",
        "    easy_interval = min(\n",
        "        max(\n",
        "            round(real_interval * factor * intervalModifier * easyBonus + 0.01),\n",
        "            good_interval + 1,\n",
        "            minimumInterval,\n",
        "        ),\n",
        "        maximumInterval,\n",
        "    )\n",
        "    if rating == 1:\n",
        "        return again_interval, max(factor - 0.2, 1.3)\n",
        "    if rating == 2:\n",
        "        return hard_interval, max(factor - 0.15, 1.3)\n",
        "    if rating == 3:\n",
        "        return good_interval, max(factor, 1.3)\n",
        "    if rating == 4:\n",
        "        return easy_interval, max(factor + 0.15, 1.3)\n",
        "    return maximumInterval, factor\n",
        "\n",
        "\n",
        "def scheduler(scheduler_name, fsrs_inputs, anki_inputs):\n",
        "    if scheduler_name == \"anki\":\n",
        "        return anki_scheduler(*anki_inputs)\n",
        "    elif scheduler_name == \"fsrs\":\n",
        "        return fsrs4anki_scheduler(fsrs_inputs), 2.5\n",
        "    return None\n",
        "\n",
        "\n",
        "for scheduler_name in (\"anki\", \"fsrs\"):\n",
        "    new_card_per_day = np.array([0] * learn_days)\n",
        "    new_card_per_day_average_per_period = np.array([0.0] * learn_days)\n",
        "    review_card_per_day = np.array([0.0] * learn_days)\n",
        "    review_card_per_day_average_per_period = np.array([0.0] * learn_days)\n",
        "    time_per_day = np.array([0.0] * learn_days)\n",
        "    time_per_day_average_per_period = np.array([0.0] * learn_days)\n",
        "    learned_per_day = np.array([0.0] * learn_days)\n",
        "    retention_per_day = np.array([0.0] * learn_days)\n",
        "    expected_memorization_per_day = np.array([0.0] * learn_days)\n",
        "\n",
        "    card = pd.DataFrame(\n",
        "        np.zeros((deck_size, len(feature_list))),\n",
        "        index=range(deck_size),\n",
        "        columns=feature_list,\n",
        "    )\n",
        "    card[\"states\"] = card[\"states\"].astype(object)\n",
        "    card[\"reps\"] = 0\n",
        "    card[\"lapses\"] = 0\n",
        "    card[\"due\"] = learn_days\n",
        "\n",
        "    student = Collection()\n",
        "    random.seed(2022)\n",
        "    for day in tqdm(range(learn_days)):\n",
        "        reviewed = 0\n",
        "        learned = 0\n",
        "        review_time_today = 0\n",
        "        learn_time_today = 0\n",
        "\n",
        "        card[\"delta_t\"] = day - card[\"last_date\"]\n",
        "        card[\"retrievability\"] = np.power(\n",
        "            1 + card[\"delta_t\"] / (9 * card[\"stability\"]), -1\n",
        "        )\n",
        "        need_review = (\n",
        "            card[card[\"due\"] <= day]\n",
        "            if leechSuspend == False\n",
        "            else card[(card[\"due\"] <= day) & (card[\"lapses\"] < leechThreshold)]\n",
        "        )\n",
        "        retention_per_day[day] = need_review[\"retrievability\"].mean()\n",
        "        for idx in need_review.index:\n",
        "            if (\n",
        "                reviewed >= review_limits\n",
        "                or review_time_today + learn_time_today >= max_time_limts\n",
        "            ):\n",
        "                break\n",
        "\n",
        "            reviewed += 1\n",
        "            last_date = card.iat[idx, field_map[\"last_date\"]]\n",
        "            due = card.iat[idx, field_map[\"due\"]]\n",
        "            factor = card.iat[idx, field_map[\"factor\"]]\n",
        "            card.iat[idx, field_map[\"last_date\"]] = day\n",
        "            ivl = card.iat[idx, field_map[\"delta_t\"]]\n",
        "            card.iat[idx, field_map[\"t_history\"]] += f\",{ivl}\"\n",
        "\n",
        "            stability = card.iat[idx, field_map[\"stability\"]]\n",
        "            retrievability = card.iat[idx, field_map[\"retrievability\"]]\n",
        "            card.iat[idx, field_map[\"p_history\"]] += f\",{retrievability:.2f}\"\n",
        "            reps = card.iat[idx, field_map[\"reps\"]]\n",
        "            lapses = card.iat[idx, field_map[\"lapses\"]]\n",
        "            states = card.iat[idx, field_map[\"states\"]]\n",
        "\n",
        "            if random.random() < retrievability:\n",
        "                rating = generate_rating(\"recall\")\n",
        "                recall_time = recall_costs[rating - 2]\n",
        "                review_time_today += recall_time\n",
        "                card.iat[idx, field_map[\"r_history\"]] += f\",{rating}\"\n",
        "                new_states = student.next_states(states, ivl, rating)\n",
        "                new_stability = float(new_states[0])\n",
        "                new_difficulty = float(new_states[1])\n",
        "                card.iat[idx, field_map[\"stability\"]] = new_stability\n",
        "                card.iat[idx, field_map[\"difficulty\"]] = new_difficulty\n",
        "                card.iat[idx, field_map[\"states\"]] = new_states\n",
        "                card.iat[idx, field_map[\"reps\"]] = reps + 1\n",
        "                card.iat[idx, field_map[\"time\"]] += recall_time\n",
        "\n",
        "                delta_t, factor = scheduler(\n",
        "                    scheduler_name,\n",
        "                    new_stability,\n",
        "                    (due - last_date, ivl, factor, rating),\n",
        "                )\n",
        "                card.iat[idx, field_map[\"factor\"]] = factor\n",
        "                card.iat[idx, field_map[\"due\"]] = day + delta_t\n",
        "\n",
        "            else:\n",
        "                review_time_today += forget_cost\n",
        "\n",
        "                rating = 1\n",
        "                card.iat[idx, field_map[\"r_history\"]] += f\",{rating}\"\n",
        "\n",
        "                new_states = student.next_states(states, ivl, 1)\n",
        "                new_stability = float(new_states[0])\n",
        "                new_difficulty = float(new_states[1])\n",
        "\n",
        "                card.iat[idx, field_map[\"stability\"]] = new_stability\n",
        "                card.iat[idx, field_map[\"difficulty\"]] = new_difficulty\n",
        "                card.iat[idx, field_map[\"states\"]] = new_states\n",
        "\n",
        "                reps = 0\n",
        "                lapses = lapses + 1\n",
        "\n",
        "                card.iat[idx, field_map[\"reps\"]] = reps\n",
        "                card.iat[idx, field_map[\"lapses\"]] = lapses\n",
        "\n",
        "                delta_t, factor = scheduler(\n",
        "                    scheduler_name,\n",
        "                    new_stability,\n",
        "                    (due - last_date, ivl, factor, rating),\n",
        "                )\n",
        "                card.iat[idx, field_map[\"due\"]] = day + delta_t\n",
        "                card.iat[idx, field_map[\"factor\"]] = factor\n",
        "                card.iat[idx, field_map[\"time\"]] += forget_cost\n",
        "\n",
        "        need_learn = card[card[\"stability\"] == 0]\n",
        "\n",
        "        for idx in need_learn.index:\n",
        "            if (\n",
        "                learned >= new_cards_limits\n",
        "                or review_time_today + learn_time_today >= max_time_limts\n",
        "            ):\n",
        "                break\n",
        "            learned += 1\n",
        "            learn_time_today += learn_cost\n",
        "            card.iat[idx, field_map[\"last_date\"]] = day\n",
        "\n",
        "            card.iat[idx, field_map[\"reps\"]] = 1\n",
        "            card.iat[idx, field_map[\"lapses\"]] = 0\n",
        "\n",
        "            r, t, p, new_states = student.init()\n",
        "            new_stability = float(new_states[0])\n",
        "            new_difficulty = float(new_states[1])\n",
        "\n",
        "            card.iat[idx, field_map[\"r_history\"]] = str(r)\n",
        "            card.iat[idx, field_map[\"t_history\"]] = str(t)\n",
        "            card.iat[idx, field_map[\"p_history\"]] = str(p)\n",
        "            card.iat[idx, field_map[\"stability\"]] = new_stability\n",
        "            card.iat[idx, field_map[\"difficulty\"]] = new_difficulty\n",
        "            card.iat[idx, field_map[\"states\"]] = new_states\n",
        "\n",
        "            delta_t, factor = scheduler(\n",
        "                scheduler_name, new_stability, (None, None, None, r)\n",
        "            )\n",
        "            card.iat[idx, field_map[\"due\"]] = day + delta_t\n",
        "            card.iat[idx, field_map[\"time\"]] = learn_cost\n",
        "            card.iat[idx, field_map[\"factor\"]] = factor\n",
        "\n",
        "        new_card_per_day[day] = learned\n",
        "        review_card_per_day[day] = reviewed\n",
        "        learned_per_day[day] = learned_per_day[day - 1] + learned\n",
        "        time_per_day[day] = review_time_today + learn_time_today\n",
        "        expected_memorization_per_day[day] = sum(\n",
        "            card[card[\"retrievability\"] > 0][\"retrievability\"]\n",
        "        )\n",
        "\n",
        "        if day >= moving_average_period:\n",
        "            new_card_per_day_average_per_period[day] = np.true_divide(\n",
        "                new_card_per_day[day - moving_average_period: day].sum(),\n",
        "                moving_average_period,\n",
        "            )\n",
        "            review_card_per_day_average_per_period[day] = np.true_divide(\n",
        "                review_card_per_day[day - moving_average_period: day].sum(),\n",
        "                moving_average_period,\n",
        "            )\n",
        "            time_per_day_average_per_period[day] = np.true_divide(\n",
        "                time_per_day[day - moving_average_period: day].sum(),\n",
        "                moving_average_period,\n",
        "            )\n",
        "        else:\n",
        "            new_card_per_day_average_per_period[day] = np.true_divide(\n",
        "                new_card_per_day[: day + 1].sum(), day + 1\n",
        "            )\n",
        "            review_card_per_day_average_per_period[day] = np.true_divide(\n",
        "                review_card_per_day[: day + 1].sum(), day + 1\n",
        "            )\n",
        "            time_per_day_average_per_period[day] = np.true_divide(\n",
        "                time_per_day[: day + 1].sum(), day + 1\n",
        "            )\n",
        "\n",
        "    total_learned = sum(new_card_per_day)\n",
        "    total_time = sum(time_per_day)\n",
        "    total_remembered = int(card[\"retrievability\"].sum())\n",
        "    total_leeches = len(card[card[\"lapses\"] >= leechThreshold])\n",
        "\n",
        "    plt.figure(1)\n",
        "    plt.plot(review_card_per_day_average_per_period, label=f\"{scheduler_name}\")\n",
        "    plt.figure(2)\n",
        "    plt.plot(time_per_day_average_per_period / 60, label=f\"{scheduler_name}\")\n",
        "    plt.figure(3)\n",
        "    plt.plot(learned_per_day, label=f\"{scheduler_name}\")\n",
        "    plt.figure(4)\n",
        "    plt.plot(retention_per_day, label=f\"{scheduler_name}\")\n",
        "    plt.figure(5)\n",
        "    plt.plot(expected_memorization_per_day, label=f\"{scheduler_name}\")\n",
        "\n",
        "    print(\"scheduler:\", scheduler_name)\n",
        "    print(\"learned cards:\", total_learned)\n",
        "    print(\"time in minutes:\", round(total_time / 60, 1))\n",
        "    print(\"remembered cards:\", total_remembered)\n",
        "    print(\"time per remembered card:\", round(\n",
        "        total_time / 60 / total_remembered, 2))\n",
        "    print(\"leeches:\", total_leeches)\n",
        "\n",
        "    save = card[card[\"retrievability\"] > 0].copy()\n",
        "    save[\"stability\"] = round(save[\"stability\"], 2)\n",
        "    save[\"retrievability\"] = round(save[\"retrievability\"], 2)\n",
        "    save[\"difficulty\"] = round(save[\"difficulty\"], 2)\n",
        "    save[\"factor\"] = round(save[\"factor\"], 2)\n",
        "    save[\"time\"] = round(save[\"time\"], 2)\n",
        "\n",
        "    save.to_csv(f\"./simulator-{scheduler_name}.tsv\", index=False, sep=\"\\t\")\n",
        "\n",
        "plt.figure(1)\n",
        "plt.title(f\"new cards limits:{new_cards_limits}-learn days:{learn_days}\")\n",
        "plt.xlabel(\"days\")\n",
        "plt.ylabel(f\"review cards per day ({moving_average_period} days average)\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.figure(2)\n",
        "plt.title(f\"new cards limits:{new_cards_limits}-learn days:{learn_days}\")\n",
        "plt.xlabel(\"days\")\n",
        "plt.ylabel(f\"time in minutes per day ({moving_average_period} days average)\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.figure(3)\n",
        "plt.title(f\"new cards limits:{new_cards_limits}-learn days:{learn_days}\")\n",
        "plt.xlabel(\"days\")\n",
        "plt.ylabel(f\"cards total learned\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.figure(4)\n",
        "plt.title(f\"new cards limits:{new_cards_limits}-learn days:{learn_days}\")\n",
        "plt.xlabel(\"days\")\n",
        "plt.ylabel(\"retention per day\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.figure(5)\n",
        "plt.title(f\"new cards limits:{new_cards_limits}-learn days:{learn_days}\")\n",
        "plt.xlabel(\"days\")\n",
        "plt.ylabel(\"expected memorization per day\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()\n",
        "plt.close(\"all\")"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "authorship_tag": "ABX9TyOm4HfyD2iOIc2PUtxA92by",
      "collapsed_sections": [],
      "provenance": []
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    "kernelspec": {
      "display_name": "Python 3.8.13 ('fsrs4anki')",
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